Data Engineer, Python and AWS
540Build Python and AWS data pipelines for 540’s U.S. Army financial systems modernization initiative. Help improve secure, scalable data transformation and governance.
खोलें
CYOS Solutions एक आईटी भर्ती एजेंसी है, जो मेलबर्न, सिडनी और ब्रिस्बेन में संघीय सरकार के लिए नियुक्तियों में सहायता करती है। कंपनी आईटी ठेकेदारों की नियुक्ति में विशेषज्ञता रखती है और अपने संस्थापकों के व्यावहारिक अनुभव का लाभ उठाती है, जिन्होंने पहले स्वयं ठेकेदार के रूप में काम किया था। इसकी भर्ती सेवाएँ योग्य आईटी पेशेवरों को सरकार-केंद्रित विभिन्न अवसरों से जोड़ती हैं और ग्राहकों की विशेष आईटी स्टाफिंग आवश्यकताओं को पूरा करने में सहायता करती हैं।
Senior AI Engineer, Cloud AI
Build secure enterprise AI and cloud platforms for Services Australia, delivering MLOps, infrastructure automation and hybrid cloud solutions across Australian Government services.
विवरण
- Design and optimise enterprise AI, machine learning and generative AI platforms, applications and supporting infrastructure
- Lead secure, scalable engineering across public cloud, on-premises and hybrid environments
- Create cloud-native architectures, automate infrastructure and establish enterprise AI engineering frameworks
- Develop and maintain AI and machine learning solutions across model deployment, inference, evaluation, monitoring and lifecycle management
- Design and support highly available cloud infrastructure, covering resource allocation, capacity planning, resilience and operational performance
- Lead software development, systems integration, platform deployment, migration and technical implementation
- Build and maintain Infrastructure as Code, CI/CD pipelines, automated deployments and secure software delivery processes
- Apply DevSecOps and secure-by-design practices in line with Australian Government security, privacy and governance requirements
- Assess technical requirements and recommend suitable architectures, technologies and implementation approaches
- Resolve complex issues affecting applications, platforms, infrastructure and enterprise services
- Guide multidisciplinary delivery teams with technical leadership and specialist advice
- Set engineering standards, reusable architecture patterns, technical documentation and operational procedures
- Work with Data Scientists, Solution Architects, Cyber Security, Infrastructure, Core Data and other stakeholders
- Advance innovation, continuous improvement, technical governance and adoption of emerging technologies
- Prepare services for operations and support reliability, releases, knowledge transfer and ongoing service improvement
आवश्यकताएँ
- Hold an active Baseline security clearance
- Bring senior technical experience in AI software engineering, cloud infrastructure, platform engineering, DevOps, MLOps, solution architecture or enterprise systems integration
- Have substantial experience in AI/ML engineering, software development, model deployment, MLOps, cloud infrastructure, platform engineering or a related technical specialty
- Demonstrate strong programming and software engineering ability, particularly with Python, automation, APIs and enterprise application integration
- Have experience delivering enterprise AI/ML solutions, including model development, training, inference, evaluation, deployment, monitoring and lifecycle management
- Have experience with LLMs, generative AI, RAG, embeddings, vector databases, AI agents and foundation models
- Have used relevant AI frameworks and tools such as Hugging Face, vLLM/TGI, Kubeflow, AWS SageMaker, Azure AI or Azure Machine Learning
- Have designed, implemented and supported enterprise cloud infrastructure across AWS, Microsoft Azure, on-premises or hybrid environments
- Have experience with Kubernetes, OpenShift, OpenShift AI or equivalent platforms
- Have experience with Docker or Podman, container image management, registries, vulnerability scanning and secure software supply chain practices
- Have experience with infrastructure-as-code and automation tools such as Terraform, Ansible, GitOps, Argo CD, GitLab, GitHub Actions or Azure DevOps
- Have experience administering Linux and working with networking, storage, DNS, TLS, load balancing, ingress, certificates and cloud/on-premises connectivity
- Have used infrastructure monitoring and observability tools such as Prometheus, Grafana, AWS CloudWatch or Azure Application Insights
- Have experience deploying and migrating enterprise platforms, installing systems, troubleshooting infrastructure and managing problems
- Have experience applying FinOps principles
- Know NVIDIA GPU infrastructure, CUDA fundamentals, GPU scheduling and AI workload optimisation
- Know OpenShift AI pipelines, model registries, model serving and S3-compatible object storage
- Know enterprise integration technologies, including REST APIs, OAuth/OIDC, API gateways, streaming platforms and data lakes
- Understand DevSecOps, RBAC, secrets management, network security, vulnerability management and secure platform configuration
- Understand Australian Government security frameworks, privacy obligations, data sovereignty and regulatory compliance
- Show technical leadership and provide specialist advice and guidance across complex initiatives
- Work independently, solve complex technical challenges and influence technical decisions
- Show experience designing complex enterprise technology solutions and implementing secure, scalable, maintainable and supportable systems
- Have led or contributed to complex software development, systems integration, infrastructure implementation, automated deployment or technology migration
- Have experience choosing, implementing and improving engineering methodologies, development tools, automation practices and technical standards
- Understand secure-by-design principles, cybersecurity requirements, technical risk management and governance obligations
- Communicate effectively in writing and verbally
- For shortlisted candidates, provide a CV preferably 3–5 pages long and a one-page pitch of no more than 5,000 characters
लाभ
- A hybrid work-from-home arrangement may be considered after the first two weeks, typically with at least two onsite days each week
- A 12-month contract, with possible extensions up to a maximum of 24 months
- Superannuation is included in the hourly rate
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